The analysis of nucleotide substitutions, gaps, and recombination events between RHD and RHCE genes through complete sequencing

Abstract

We determined the entire nucleotide sequences of all introns within the RHD and RHCE genes by amplifying genomic DNA using long PCR methods. The RHD and RHCE genes were 57,295 and 57,831 bp in length, respectively. Aligning both genes revealed 138 gaps (insertions and deletions) below 100 bp, 1116 substitutions in all introns and all exons (coding region), and 5 gaps of over 100 bp. Homologies (%) between the RH genes were 93.8% over all introns and coding exons and 91.7% over all exons and introns. Various short tandem repeats (STRs) and many interspersed nuclear elements were identified in both genes. The proportions of Alu sequences in the RHD and RHCE genes were 25.9 and 25.7%, respectively and these Alu sequences were concentrated in several regions. We confirmed multiple recombinations in introns 1 and 2. Such multiple recombination, which probably arose due to the concentrations of Alu sequences and the high level of the homology (%), is one of most important factors in the formation and evolution of RH gene. The variability of the Rh system may be generated because of these features of RH genes. Apparent mutational hotspots and regions with low of K values (the numbers of substitutions per nucleotide site) caused by recombinations as well as true mutational hotspots may be found in human genome. Accordingly, in searching for and identifying single nucleotide polymorphisms (SNPs) especially in noncoding regions, apparent mutational hotspots and areas of low K values by recombination should be noted since the unequal distribution of SNPs will reduce the power of SNPs as genetic maker. Combining the complete sequences' data of both RH genes with serological findings will provide beneficial information with which to elucidate the mechanism of recombination, mutation, polymorphism, and evolution of other genes containing the RH gene as well as to analyze Rh variants and develop new methods of Rh genotyping.